7AI automates the SOC lifecycle.
Simbian closes the loop with offense.
Both investigate every alert without a playbook, then act on the verdict. Simbian's AI SOC Agent resolves 92% of them autonomously, lets an analyst steer or take over any investigation, and gets sharper with every case it works, on one Context Lake it shares with an AI Pentest Agent.
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Both close the alert. Only Simbian closes the loop.
Autonomous investigation is the baseline now. What separates the two platforms is how much control an analyst keeps, what the platform remembers, whether it improves itself, and whether offense is in the loop.
What both do
- ●Every alert investigated, around the clock, no playbookNeither hands a novel alert back to a person by default.
- ●A full, auditable reasoning traceBoth open every step, the tools they ran, and the evidence behind the verdict.
- ●The defensive lifecycle on one platformDetect, investigate, respond, and hunt, with humans keeping authority over what executes.
- ●Response that runs against the tools you already ownBoth act on the verdict instead of stopping at a recommendation.
Where Simbian pulls ahead
- ▸Steer the investigation, do not just read itAn analyst can redirect the agent mid-investigation through chat or the interactive graph, or take the investigation over entirely at any point.
- ▸Response with no workflow to authorContainment runs under the mode you set per alert class, from Read-only to Autopilot, so there is no branching workflow to build and keep current.
- ▸One Context Lake™, taught in plain languageTribal knowledge, documents, and analyst corrections become generalised context that steers every related alert, and every agent reads the same lake.
- ▸Self-Improving SecOpsThe platform learns from every investigation and every correction, and rewrites its own skills when your environment stops matching the reference schema.
- ▸Offense and defense on one platformA proven exploit path raises the severity of the alert it touches, and a defensive gap becomes the next thing the pentest agent goes looking for.
Two architectures for the agentic SOC
One runs the defensive lifecycle end to end. The other runs it, generalises what it learns, and brings offense onto the same memory.
7AISimbian
Core unit
7AISwarms of specialist agents, where a mission agent spawns more agents per alert.
SimbianAI SOC, AI Pentest, and AI Threat Hunt agents on one substrate.
Investigation
7AIAgents swarm the alert in parallel and query the data where it already lives.
SimbianStep-by-step reasoning that consults context to choose direction at each step.
Context
7AIEnterprise Insights: structured facts about users, domains, hosts, and files.
SimbianContext Lake™ holds generalised context that steers every related alert, shared across all agents.
Transparency
7AIEvery agent step is open, down to the exact tool request and response.
SimbianReasoning trace with evidence attached to every verdict.
Response
7AIApproval-gated actions, plus workflows built in a visual designer with If/Else, Switch, and For Each.
SimbianContainment under the active operating mode, with no workflow to author or maintain.
Autonomy
7AIHumans on the loop, with approval gates and detection-routing rules.
SimbianRead-only, Dry-run, Guided, or Autopilot, set per alert class.
Tuning
7AISkills, workflows, runbooks, and routing rules your team authors and keeps current.
SimbianThe platform writes and revises its own skills as the environment changes.
Domain breadth
7AIThe published platform runs the defensive lifecycle: detect, investigate, respond, and hunt.
SimbianOffense and defense on one platform, so a validated exploit path changes how a related alert is judged.
Deployment
7AIDelivered as a cloud platform.
SimbianSaaS, private cloud, on-premises, or air-gapped, with your choice of LLM.
Where Simbian separates
R1
Detection and investigation coverage
7AISimbian
Investigates every alert around the clock without a playbook
Reasons through a novel alert with no prior template
One normalized alert inventory mapped to MITRE ATT&CK
An analyst can steer or take over the investigation mid-flight
Every verdict carries a severity rating and a confidence score
R2
Autonomy and action
7AISimbian
Native response executed against the tools you already own
Acts on the verdict without a workflow to author and maintain
Graduated, per-alert-class autonomy control
R3
Transparency
7AISimbian
Full, auditable reasoning trace on every case
Question a finished case in natural language
R4
Context and learning
7AISimbian
Environment knowledge applied to future investigations
Context generalises across related alerts rather than per artifact
Revises its own investigation skills when the environment changes
R5
Platform breadth: offense and defense
7AISimbian
Autonomous defensive investigation
Proactive threat hunting
Detection coverage mapping and rule tuning
Offensive validation on the same platform and shared memory
A finding by one agent changes another agent's verdict
R6
Deployment and data control
7AISimbian
Fast deployment with no playbooks to build first
Available as a fully managed service
On-premises or air-gapped deployment
Bring your own LLM to your own endpoint
Choose the region your data and model calls stay in
R7
Enterprise and MSSP operations
7AISimbian
Every case tracked from open through to closed
Writes the verdict and reasoning into the SIEM or case manager you already run
Multi-tenant operation across a whole client base
Full Limited None
Frequently Asked Questions
Simbian. It investigates every alert without a playbook, then goes past the defensive loop: an AI Pentest Agent and an AI Threat Hunt Agent share one Context Lake with the AI SOC Agent, so a proven exploit path changes how a related alert is judged. It deploys on-premises or air-gapped with your own LLM, and resolves 92% of alerts autonomously in production.
Both are AI-native platforms whose agents reason through every alert with no playbook and then act on the verdict. 7AI's published platform runs the defensive lifecycle: detect, investigate, respond, and hunt. Simbian runs that same loop plus an AI Pentest Agent on one shared Context Lake, generalises what it learns across related alerts, and deploys inside your own trust boundary.
7AI's Enterprise Insights are structured facts about the artifacts in an environment: users, domains, hosts, and files. Simbian's Context Lake holds generalised context that changes how an investigation proceeds. One entry, such as traffic to a given region being normal for a subsidiary, reshapes every related alert without enumerating each address, and every agent reads the same context.
Yes, when both halves run on one memory. Simbian's AI Pentest Agent proves which paths are exploitable and writes the finding to the Context Lake that the AI SOC and AI Threat Hunt agents read. A validated exploit path raises the severity of the alert that touches it, and a defensive blind spot becomes the next thing the offensive agent goes looking for.
Look past investigation quality, which is the baseline now, and test four things: whether offense and defense share one memory, whether context generalises across related alerts or records one fact per artifact, whether the platform revises its own investigation strategies when your environment does not match the reference schema, and whether it deploys on-premises or air-gapped with your own LLM.